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Prof. Dr. Frederick Klauschen

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Charité Universitätsmedizin Berlin
Institute of Pathology

Charitéplatz 1, D-10117 Berlin
https://pathologie-ccm.charite.de/forschung/arbeitsgruppen/ag_klauschen_systempathologie/projekte_der_ag_systempathologie/

Prof. Dr. Frederick Klauschen

Research Group Lead / Charité / Fellow

Fellow | BIFOLD

Director | Pathologisches Institut, Ludwig-Maximilian-Universität München

Professor, Senior Consultant Pathologist and Associate Director | Charité Universitätsmedizin Berlin, Institute of Pathology

2012 Novartis Pathology-Oncology Award
2011 Human Frontier Science Program Young Investigator Award
2004 NIH Postdoctoral Fellowship Award

Systems biological integration of proteogenomic profiles and histological images through bioinformatics and machine learning with the goal to better understand and predict pathological mechanisms in tumors and finally, to better diagnose and treat cancer.

  • German Pathological Society
  • International Academy of Pathology
  • German Physical Society

Philipp Keyl, Michael Bockmayr, Daniel Heim, Gabriel Dernbach, Gregoire Montavon, Klaus-Robert Müller, Frederick Klauschen

Patient-level proteomic network prediction by explainable artificial intelligence

June 07 , 2022
https://www.nature.com/articles/s41698-022-00278-4

Albrecht Stenzinger, Maximilian Alber, Michael Allgäuer, Philipp Jurmeister, Michael Bockmayr, Jan Budczies, Jochen Lennerz, Johannes Eschrich, Daniel Kazdal, Peter Schirmacher, Alex H. Wagner, Frank Tacke, David Capper, Klaus-Robert Müller, Frederick Klauschen

Artificial Intelligence and Pathology: From Principles to Practice and Future Applications in Histomorphology and Molecular Profiling.

June 25 , 2022
https://doi.org/10.1016/j.semcancer.2021.02.011

Miriam Hägele, Klaus-Robert Müller, Carsten Denkert, Andreas Schneeweiss, Bruno Sinn, Michael Untch, Marion T. Van Mackelenbergh, Christian Jackisch, Valentina Nekljudova, Thomas Karn, Maximilian Alber, Frederik Marmé, Christian Schem, Elmar Stickeler, Peter A. Fasching, Volkmar Müller, Karsten E. Weber, Bianca Lederer, Sibylle Loibl, Frederick Klauschen

Generalization of a Deep Learning Model for HER2 Status Prediction on H&E-Stained Whole Slide Images from 3 Neoadjuvant Clinical Studies

September 13 , 2022
https://www.sciencedirect.com/science/article/pii/S0923753422019524?via%3Dihub

Philipp Jurmeister, Stefanie Glöß, Renée Roller, Maximilian Leitheiser, Simone Schmid, Liliana H. Mochmann, Emma Payá Capilla, Rebecca Fritz, Carsten Dittmayer, Corinna Friedrich, Anne Thieme, Philipp Keyl, Armin Jarosch, Simon Schallenberg, Hendrik Bläker, Inga Hoffmann, Claudia Vollbrecht, Annika Lehmann, Michael Hummel, Daniel Heim, Mohamed Haji, Patrick Harter, Benjamin Englert, Stephan Frank, Jürgen Hench, Werner Paulus, Martin Hasselblatt, Wolfgang Hartmann, Hildegard Dohmen, Ursula Keber, Paul Jank, Carsten Denkert, Christine Stadelmann, Felix Bremmer, Annika Richter, Annika Wefers, Julika Ribbat-Idel, Sven Perner, Christian Idel, Lorenzo Chiariotti, Rosa Della Monica, Alfredo Marinelli, Ulrich Schüller, Michael Bockmayr, Jacklyn Liu, Valerie J. Lund, Martin Forster, Matt Lechner, Sara L. Lorenzo-Guerra, Mario Hermsen, Pascal D. Johann, Abbas Agaimy, Philipp Seegerer, Arend Koch, Frank Heppner, Stefan M. Pfister, David T. W. Jones, Martin Sill, Andreas von Deimling, Matija Snuderl, Klaus-Robert Müller, Erna Forgó, Brooke E. Howitt, Philipp Mertins, Frederick Klauschen, David Capper

DNA methylation-based classification of sinonasal tumors

November 28 , 2022
https://www.nature.com/articles/s41467-022-34815-3

Philipp Keyl, Philip Bischoff, Gabriel Dernbach, Michael Bockmayr, Rebecca Fritz, David Horst, Nils Blüthgen, Gregoire Montavon, Klaus-Robert Müller, Frederick Klauschen

Single-cell gene regulatory network prediction by explainable AI

2023
https://academic.oup.com/nar/article/51/4/e20/6984592